Statistics as a tool for decision making in agricultural and environmental experiments

Abstract

This study aimed to identify and present applications of statistical methods in problems of agricultural and environmental nature. To achieve this objective, applied research of exploratory and quantitative nature was carried out. Two case studies were adopted as method and technical procedures. As a contribution to this research, the use of statistical methods in problem solving and as a tool for decision making is pointed out.

Comparison of financial results of companies with different production systems: a case study of lean manufacturing and industry 4.0

“…Today, statistics has made a significant contribution to the decision-making process because much of what is produced is based on quantitative methods, and statistics is one such area, especially in the spread of Industry 4.0 due to the enormous amount of data to be processed and manipulated. In the information and knowledge age, statistics uses mathematics to support business professionals, government and researchers (da Motta Reis et al, 2020;de Sousa Alvarenga et al, 2021;Gomes et al, 2022;Junior et al, 2023;Felipe C. Mazza et al, 2023;Felipe Cury Mazza et al, 2022;Mendonça et al, 2023;Menezes et al, 2023;Oliveira et al, 2023;Rezende et al, 2023;Santana et al, 2023;Veloso et al, 2023;Yamada et al, 2023).…”

Linear low density polyethylene film process capability analysis

“…In the last century, statistics revolutionized science by presenting useful models that modernized the research process toward better research parameters, making it possible to guide decision making in a wide variety of areas. Statistical methods were developed as a mixture of science and logic for problem-solving and research in various areas of human knowledge (Rezende et al, 2023). Quality is the comprehensive specification of an entity that could be a product, individual, organized, related to the ability to satisfy or presumed needs (Gomes et al, 2022).…”

Simultaneous optimization response surface experiments with several response variables

“…Today, statistics has contributed significantly to the decision-making process because much of what is produced is based on quantitative methods, and statistics is one such area. In the information and knowledge age, statistics uses mathematics to support professionals in business, government, and researchers (Mazza et al, 2023;Rezende et al, 2023).…”

“…By analyzing the results obtained, you can determine the degree of influence of each factor used on the response variable, as well as the interactions between the factors and the optimum conditions G. Novaes et al, 2017;Rezende et al, 2023). In processes with multiple responses, you should model each of the responses you wish to optimize by means of a function that describes the so-called response surface, that is, which allows you to estimate the value of the response within the range of variation defined for the variables involved in the study.…”